PhD Position in Explainable Audio Scene Description
Il y a 2 mois
Inria D&S is seeking a PhD candidate to work on a research project focused on explainable audio scene description. The project aims to develop a system that can automatically describe audio scenes, providing a summary of the information present in the scene.
The PhD candidate will work under the supervision of Jean-François Bonastre and co-supervision of Raphaël Duroselle, within the audio processing research team of Inria D&S.
Key Responsibilities- Develop deep learning systems for audio scene description
- Define a new task, corpus, and evaluation protocol
- Work on the alignment between self-supervised representations of the speech signal and large language models
- Train a weakly supervised system
- Evaluate the system
- Master's degree in computer science, mathematics, or phonetics
- Strong interest in applied research
- Excellent written and spoken English
- Signal processing and machine learning skills
- Experience with deep learning toolkits such as PyTorch or Keras
- Knowledge of open-source toolkits such as Kaldi or SpeechBrain
- Subsidized meals
- Partial reimbursement of public transport costs
- Leave: 7 weeks of annual leave + 10 extra days off due to RTT + possibility of exceptional leave
- Possibility of teleworking and flexible organization of working hours
- Professional equipment available
- Social, cultural, and sports events and activities
- 1st and 2nd year: 2082 € gross/month
- 3rd year: 2190 € gross/month
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